11 results on '"Muñoz-Gómez, V."'
Search Results
2. Overview of cattle diseases listed under Category C, D or E in the Animal Health Law for which control programmes are in place within Europe
- Author
-
Hodnik, J.J., Acinger-Rogić, Ž., Alishani, M., Autio, T., Balseiro, A., Berezowski, J., Carmo, L.P., Chaligiannis, I., Conrady, B., Costa, L., Cvetkovikj, I., Davidov, I., Dispas, M., Djadjovski, I., Duarte, E.L., Faverjon, C., Fourichon, C., Frössling, J., Gerilovych, A., Gethmann, J., Gomes, J., Graham, D., Guelbenzu, M., Gunn, G.J., Henry, M.K., Hopp, P., Houe, H., Irimia, E., Ježek, J., Juste, R.A., Kalaitzakis, E., Kaler, J., Kaplan, S., Kostoulas, P., Kovalenko, K., Kneževič, N., Knific, T., Koleci, X., Madouasse, A., Malakauskas, A., Mandelik, R., Meletis, E., Mincu, M., Mõtus, K., Muñoz-Gómez, V., Niculae, M., Nikitović, J., Ocepek, M., Tangen-Opsal, M., Ózsvári, L., Papadopoulos, D., Papadopoulos, T., Pelkonen, S., Polak, M.P., Pozzato, N., Rapaliuté, E., Ribbens, S., Niza-Ribeiro, J., Roch, F.-F., Rosenbaum Nielsen, L., Saez, J.L., Nielsen, S.S., van Schaik, G., Schwan, E., Sekovska, B., Starič, J., Strain, S., Šatran, P., Šerić-Haračić, S., Tamminen, L.-M., Thulke, Hans-Hermann, Toplak, I., Tuunainen, E., Verner, S., Vilček, Š., Yildiz, R, Santman-Berends, I.M.G.A., Hodnik, J.J., Acinger-Rogić, Ž., Alishani, M., Autio, T., Balseiro, A., Berezowski, J., Carmo, L.P., Chaligiannis, I., Conrady, B., Costa, L., Cvetkovikj, I., Davidov, I., Dispas, M., Djadjovski, I., Duarte, E.L., Faverjon, C., Fourichon, C., Frössling, J., Gerilovych, A., Gethmann, J., Gomes, J., Graham, D., Guelbenzu, M., Gunn, G.J., Henry, M.K., Hopp, P., Houe, H., Irimia, E., Ježek, J., Juste, R.A., Kalaitzakis, E., Kaler, J., Kaplan, S., Kostoulas, P., Kovalenko, K., Kneževič, N., Knific, T., Koleci, X., Madouasse, A., Malakauskas, A., Mandelik, R., Meletis, E., Mincu, M., Mõtus, K., Muñoz-Gómez, V., Niculae, M., Nikitović, J., Ocepek, M., Tangen-Opsal, M., Ózsvári, L., Papadopoulos, D., Papadopoulos, T., Pelkonen, S., Polak, M.P., Pozzato, N., Rapaliuté, E., Ribbens, S., Niza-Ribeiro, J., Roch, F.-F., Rosenbaum Nielsen, L., Saez, J.L., Nielsen, S.S., van Schaik, G., Schwan, E., Sekovska, B., Starič, J., Strain, S., Šatran, P., Šerić-Haračić, S., Tamminen, L.-M., Thulke, Hans-Hermann, Toplak, I., Tuunainen, E., Verner, S., Vilček, Š., Yildiz, R, and Santman-Berends, I.M.G.A.
- Abstract
The COST action “Standardising output-based surveillance to control non-regulated diseases of cattle in the European Union (SOUND control),” aims to harmonise the results of surveillance and control programmes (CPs) for non-EU regulated cattle diseases to facilitate safe trade and improve overall control of cattle infectious diseases. In this paper we aimed to provide an overview on the diversity of control for these diseases in Europe. A non-EU regulated cattle disease was defined as an infectious disease of cattle with no or limited control at EU level, which is not included in the European Union Animal health law Categories A or B under Commission Implementing Regulation (EU) 2020/2002. A CP was defined as surveillance and/or intervention strategies designed to lower the incidence, prevalence, mortality or prove freedom from a specific disease in a region or country. Passive surveillance, and active surveillance of breeding bulls under Council Directive 88/407/EEC were not considered as CPs. A questionnaire was designed to obtain country-specific information about CPs for each disease. Animal health experts from 33 European countries completed the questionnaire. Overall, there are 23 diseases for which a CP exists in one or more of the countries studied. The diseases for which CPs exist in the highest number of countries are enzootic bovine leukosis, bluetongue, infectious bovine rhinotracheitis, bovine viral diarrhoea and anthrax (CPs reported by between 16 and 31 countries). Every participating country has on average, 6 CPs (min–max: 1–13) in place. Most programmes are implemented at a national level (86%) and are applied to both dairy and non-dairy cattle (75%). Approximately one-third of the CPs are voluntary, and the funding structure is divided between government and private resources. Countries that have eradicated diseases like enzootic bovine leukosis, bluetongue, infectious bovine rhinotracheitis and bovine viral diarrhoea have implemented CPs for other
- Published
- 2021
3. Overview of cattle diseases listed under category C, D or E in the animal health law for wich control programmes are in place within Europe
- Author
-
Balseiro Morales, Ana María [0000-0002-5121-7264], Hodnik, J. J., Acinger-Rogic, Z., Alishahi, M., Autio, T., Balseiro, Ana, Berezowski, J., Carmo, L. P., Chaligiannis, I., Conrady, B., Cost, L., Cvetkovikj, I., Davidov, I., Dispas, M., Djadjovsk, I., Leclerc Duarte, E., Faverjon, C., Fourichon, C., Frössling, J., Gerilovych, A., Gethmann, J., Gomes, J., Graham, D., Guelbenzu, M., Gunn, G. J., Henry, M. K., Hopp, P., Houe, H., Irimia, E., Jezek, J., Juste, Ramón A., Kalaitzakis, E., Kaler, J., Kaplan, S., Kostoulas, P., Kovalenko, K., Knežević, M., Knific, T., Koleci, X., Madouasse, A., Malakauskas, A., Mandelik, R., Meletis, E., Mincu, M., Môtus, K., Muñoz-Gómez, V., Niculae, M., Nikitovic', J., Ocepek, M., Tangen-Opsal, M., Ózsvári, L., Papadopoulos, D., Papadopoulos, T., Pelkonen, S., Pawel Polak, M., Pozzato, N., Rapaliuté, E., Ribbens, E., Niza-Ribeiro, J., Roch, F. F., Rosenbaum Nielsen, L., Saez, J. L., Saxmose Nielsen, S., Van Schaik, G., Schwan, E., Sekovska, B., Staric, J., Strain, S., Satan, P, Sêric-Haracic, S., Tamminen, L. M., Thulke, H. H., Toplak, I., Tunnainen, E., Verner, S., Vilcek, S., Yildiz, Y., Santman-Berends, Inge M. G. A., Balseiro Morales, Ana María [0000-0002-5121-7264], Hodnik, J. J., Acinger-Rogic, Z., Alishahi, M., Autio, T., Balseiro, Ana, Berezowski, J., Carmo, L. P., Chaligiannis, I., Conrady, B., Cost, L., Cvetkovikj, I., Davidov, I., Dispas, M., Djadjovsk, I., Leclerc Duarte, E., Faverjon, C., Fourichon, C., Frössling, J., Gerilovych, A., Gethmann, J., Gomes, J., Graham, D., Guelbenzu, M., Gunn, G. J., Henry, M. K., Hopp, P., Houe, H., Irimia, E., Jezek, J., Juste, Ramón A., Kalaitzakis, E., Kaler, J., Kaplan, S., Kostoulas, P., Kovalenko, K., Knežević, M., Knific, T., Koleci, X., Madouasse, A., Malakauskas, A., Mandelik, R., Meletis, E., Mincu, M., Môtus, K., Muñoz-Gómez, V., Niculae, M., Nikitovic', J., Ocepek, M., Tangen-Opsal, M., Ózsvári, L., Papadopoulos, D., Papadopoulos, T., Pelkonen, S., Pawel Polak, M., Pozzato, N., Rapaliuté, E., Ribbens, E., Niza-Ribeiro, J., Roch, F. F., Rosenbaum Nielsen, L., Saez, J. L., Saxmose Nielsen, S., Van Schaik, G., Schwan, E., Sekovska, B., Staric, J., Strain, S., Satan, P, Sêric-Haracic, S., Tamminen, L. M., Thulke, H. H., Toplak, I., Tunnainen, E., Verner, S., Vilcek, S., Yildiz, Y., and Santman-Berends, Inge M. G. A.
- Abstract
The COST action “Standardising output-based surveillance to control non-regulated diseases of cattle in the European Union (SOUND control),” aims to harmonise the results of surveillance and control programmes (CPs) for non-EU regulated cattle diseases to facilitate safe trade and improve overall control of cattle infectious diseases. In this paper we aimed to provide an overview on the diversity of control for these diseases in Europe. A non-EU regulated cattle disease was defined as an infectious disease of cattle with no or limited control at EU level, which is not included in the European Union Animal health law Categories A or B under Commission Implementing Regulation (EU) 2020/2002. A CP was defined as surveillance and/or intervention strategies designed to lower the incidence, prevalence, mortality or prove freedom from a specific disease in a region or country. Passive surveillance, and active surveillance of breeding bulls under Council Directive 88/407/EEC were not considered as CPs. A questionnaire was designed to obtain country-specific information about CPs for each disease. Animal health experts from 33 European countries completed the questionnaire. Overall, there are 23 diseases for which a CP exists in one or more of the countries studied. The diseases for which CPs exist in the highest number of countries are enzootic bovine leukosis, bluetongue, infectious bovine rhinotracheitis, bovine viral diarrhoea and anthrax (CPs reported by between 16 and 31 countries). Every participating country has on average, 6 CPs (min–max: 1–13) in place. Most programmes are implemented at a national level (86%) and are applied to both dairy and non-dairy cattle (75%). Approximately one-third of the CPs are voluntary, and the funding structure is divided between government and private resources. Countries that have eradicated diseases like enzootic bovine leukosis, bluetongue, infectious bovine rhinotracheitis and bovine viral diarrhoea have implemented CPs for other
- Published
- 2021
4. Global and regional prediction of heterakidosis population prevalence in extensive backyard chickens in low-income and middle-income countries.
- Author
-
Muñoz-Gómez V and Torgerson PR
- Subjects
- Animals, Prevalence, Climate, Ascaridida, Chickens, Poultry Diseases epidemiology, Poultry Diseases parasitology, Developing Countries
- Abstract
Extensive backyard chickens are one of the most common production systems in low-income and middle-income countries (LMICs). In this production system, chickens are exposed to infectious forms of parasites as a result of the outdoor access and scavenging behaviour. Heterakis gallinarum is one of the most common nematode parasites present in the environment, and estimating its global and regional prevalence is essential for attributing the economic losses in extensive backyard chickens. The objective of this study is to predict the prevalence of heterakidosis in extensive backyard chickens at global and regional levels in LMICs using regression imputation methods. A binomial random effect model was developed using empirical data on heterakidosis prevalence and climatic factors as main predictors. Prevalence data were then imputed in all regions based on the regression model. Global and country prevalence were estimated based on regional predictions and their beta distributions. Minimum precipitation, minimum temperature and maximum temperature were selected as significant predictors. The population prevalence of heterakidosis was 0.24 (0.19-0.29). Countries with continental and dry climates had a higher mean prevalence, whereas countries with tropical climates had a lower mean prevalence of heterakidosis. As more empirical data on heterakidosis prevalence become available, this model and predictions should be redefined and updated to capture a more representative association and increase the accuracy of the predictions. The results of this study can be used to attribute the economic losses of extensive backyard chickens, taking into account a holistic approach as promoted by the GBADs programme and therefore, to identify which diseases are more costly to backyard farmers. Furthermore, results can be also served as a proxy for the risk of histomoniasis in extensive backyard chickens., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
5. Global and regional prediction of coccidiosis and ascaridiosis prevalence in extensive backyard chickens in low-income and middle-income countries.
- Author
-
Muñoz-Gómez V, Ma T, Li Y, Rasmussen P, and Torgerson PR
- Subjects
- Animals, Prevalence, Developing Countries, Coccidiosis epidemiology, Coccidiosis veterinary, Coccidiosis parasitology, Chickens parasitology, Poultry Diseases epidemiology, Poultry Diseases parasitology, Ascaridiasis veterinary, Ascaridiasis epidemiology, Ascaridiasis parasitology
- Abstract
Backyard chickens usually have open housing and scavenge for food, facilitating contact with infective forms of parasites present in the environment and increasing the risk of parasitic infections. Coccidiosis and ascaridiosis are two internal parasites in scavenging chickens that cause production losses to farmers. Prevalence data of these two diseases are scarce in low-income and middle-income countries (LMICs) but necessary to assess the burden of disease in backyard chickens. This study estimates the clinical prevalence of coccidiosis and ascaridiosis at the country and regional levels in all LMICs using regression imputation methods. Regression models were developed with data of known prevalence of these parasites and using primarily climatic factors as predictors. A binomial random effects model was developed for each disease to impute prevalence. The overall estimated prevalence of coccidiosis was 0.39 (95 % CI: 0.37-0.42), with a higher mean prevalence in tropical countries. The overall estimated prevalence of ascaridiosis was 0.23 (95 % CI: 0.22-0.25) with a higher mean prevalence in countries with tropical, temperate and continental climates. The findings of this study can aid to identify the burdens of coccidiosis and ascaridiosis infections across countries and regions, which can inform disease control plans and, and encourage international alliances to facilitate access to preventive measures, improving animal health and reducing production losses., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
6. Prediction of coccidiosis prevalence in extensive backyard chickens in countries and regions of the Horn of Africa.
- Author
-
Muñoz-Gómez V, Furrer R, Yin J, Shaw AP, Rasmussen P, and Torgerson PR
- Subjects
- Animals, Chickens, Prevalence, Housing, Ethiopia epidemiology, Eimeria, Poultry Diseases epidemiology, Coccidiosis epidemiology, Coccidiosis veterinary
- Abstract
Coccidiosis is one of the leading morbidity causes in chickens, causing a reduction of body weight and egg production. Backyard chickens are at risk of developing clinical and subclinical coccidiosis due to outdoor housing and scavenging behaviour, jeopardizing food security in households. The objectives of this study were to estimate clinical prevalence of coccidiosis at country and regional levels in the Horn of Africa in extensive backyard chickens. A binomial random effects model was developed to impute prevalence of coccidiosis. Previously gathered prevalence data (n = 40) in backyard chickens was used to define the model. Precipitation (OR: 1.09 (95% CI: 1.05-1.13) and the presence of seasonal rainfall (OR: 1.85, 95% CI: 1.27-2.70) significantly increase prevalence. Results showed an overall prevalence of coccidiosis in the Horn of Africa of 0.21 (95% CI: 0.15-0.29). Ethiopia, the Republic of South Sudan and Kenya showed the highest prevalence and Djibouti the lowest. Significant differences between Djibouti and the countries with highest prevalence were found. However, no evidence of a significant difference between the rest of the countries. Kenya and Ethiopia showed larger prevalence differences between regions. Results could assist with the targeting of testing for coccidiosis, the observation for clinical disease of chickens living in specific regions and as a baseline for the evaluation of future control measures., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Conflict of Interest The authors declare no conflict of interest., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
7. Corrigendum: Overview of Cattle Diseases Listed Under Category C, D or E in the Animal Health Law for Which Control Programmes Are in Place Within Europe.
- Author
-
Hodnik JJ, Acinger-Rogić Ž, Alishani M, Autio T, Balseiro A, Berezowski J, Carmo LP, Chaligiannis I, Conrady B, Costa L, Cvetkovikj I, Davidov I, Dispas M, Djadjovski I, Duarte EL, Faverjon C, Fourichon C, Frössling J, Gerilovych A, Gethmann J, Gomes J, Graham D, Guelbenzu M, Gunn GJ, Henry MK, Hopp P, Houe H, Irimia E, Ježek J, Juste RA, Kalaitzakis E, Kaler J, Kaplan S, Kostoulas P, Kovalenko K, Kneževič N, Knific T, Koleci X, Madouasse A, Malakauskas A, Mandelik R, Meletis E, Mincu M, Mõtus K, Muñoz-Gómez V, Niculae M, Nikitović J, Ocepek M, Tangen-Opsal M, Ózsvári L, Papadopoulos D, Papadopoulos T, Pelkonen S, Polak MP, Pozzato N, Rapaliuté E, Ribbens S, Niza-Ribeiro J, Roch FF, Rosenbaum Nielsen L, Saez JL, Nielsen SS, van Schaik G, Schwan E, Sekovska B, Starič J, Strain S, Šatran P, Šerić-Haračić S, Tamminen LM, Thulke HH, Toplak I, Tuunainen E, Verner S, Vilček Š, Yildiz R, and Santman-Berends IMGA
- Abstract
[This corrects the article DOI: 10.3389/fvets.2021.688078.]., (Copyright © 2022 Hodnik, Acinger-Rogić, Alishani, Autio, Balseiro, Berezowski, Carmo, Chaligiannis, Conrady, Costa, Cvetkovikj, Davidov, Dispas, Djadjovski, Duarte, Faverjon, Fourichon, Frössling, Gerilovych, Gethmann, Gomes, Graham, Guelbenzu, Gunn, Henry, Hopp, Houe, Irimia, Ježek, Juste, Kalaitzakis, Kaler, Kaplan, Kostoulas, Kovalenko, Kneževič, Knific, Koleci, Madouasse, Malakauskas, Mandelik, Meletis, Mincu, Mõtus, Muñoz-Gómez, Niculae, Nikitović, Ocepek, Tangen-Opsal, Ózsvári, Papadopoulos, Papadopoulos, Pelkonen, Polak, Pozzato, Rapaliuté, Ribbens, Niza-Ribeiro, Roch, Rosenbaum Nielsen, Saez, Nielsen, van Schaik, Schwan, Sekovska, Starič, Strain, Šatran, Šerić-Haračić, Tamminen, Thulke, Toplak, Tuunainen, Verner, Vilček, Yildiz and Santman-Berends.)
- Published
- 2022
- Full Text
- View/download PDF
8. Integrating digital and field surveillance as complementary efforts to manage epidemic diseases of livestock: African swine fever as a case study.
- Author
-
Tizzani M, Muñoz-Gómez V, De Nardi M, Paolotti D, Muñoz O, Ceschi P, Viltrop A, and Capua I
- Subjects
- Animals, Awareness, Estonia epidemiology, Farmers, Internet, Statistics, Nonparametric, Surveys and Questionnaires, Swine, African Swine Fever epidemiology, Epidemics prevention & control, Epidemiological Monitoring, Livestock virology
- Abstract
SARS-CoV-2 has clearly shown that efficient management of infectious diseases requires a top-down approach which must be complemented with a bottom-up response to be effective. Here we investigate a novel approach to surveillance for transboundary animal diseases using African Swine (ASF) fever as a model. We collected data both at a population level and at the local level on information-seeking behavior respectively through digital data and targeted questionnaire-based surveys to relevant stakeholders such as pig farmers and veterinary authorities. Our study shows how information-seeking behavior and resulting public attention during an epidemic, can be identified through novel data streams from digital platforms such as Wikipedia. Leveraging attention in a critical moment can be key to providing the correct information at the right moment, especially to an interested cohort of people. We also bring evidence on how field surveys aimed at local workers and veterinary authorities remain a crucial tool to assess more in-depth preparedness and awareness among front-line actors. We conclude that these two tools should be used in combination to maximize the outcome of surveillance and prevention activities for selected transboundary animal diseases such as ASF., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2021
- Full Text
- View/download PDF
9. Supporting control programs on African swine fever in Ukraine through a knowledge, attitudes, and practices survey targeting backyard farmers.
- Author
-
Muñoz-Gómez V, Solodiankin O, Rudova N, Gerilovych A, Nychyk S, Hudz N, Ukhovska T, Sytiuk M, Polischuk V, Mustra D, De Nardi M, Lechner I, and Schuppers M
- Subjects
- Animal Husbandry methods, Animals, Farmers, Health Knowledge, Attitudes, Practice, Humans, Surveys and Questionnaires, Swine, Ukraine, African Swine Fever prevention & control, Swine Diseases
- Abstract
A Knowledge, Attitudes, and Practices (KAP) questionnaire was designed to collect information on farmers' knowledge of ASF and their practices surrounding that could impact the spread of the disease. The questionnaire was distributed, and data collected, from 233 backyard farmers from five selected Oblasts (Rivne, Kharkiv, Odessa, Zakarpattia and Kiev). Kruskal-Wallis tests were conducted to identify factors that could influence knowledge, and Dunn tests were performed to determine differences between groups when the Kruskal-Wallis tests were significant. Spearman tests were carried out to explore the association between knowledge and risky practices. Results show that comprehensive knowledge on ASF is not common in backyard farmers and that risky practices that influence the spread of ASF are regularly performed. Of the respondents, 47% felt well-informed about how ASF can be transmitted and 31.8% felt confident about recognizing clinical signs of ASF. The independent variable "Oblast" was identified as a significant factor (p = 0.0015) associated with differences in knowledge on clinical signs. We demonstrated statistically significant differences of knowledge between backyard farmers from different Oblasts. Knowledge of preventive measures was positively correlated with risky handling practices related to edible pork products (p = 0.0053) and non-edible pork products (p = 0.0417). In conclusion, our results show that backyard farmers have knowledge gaps on ASF and practice various risky behaviours that might favour the spread of the disease in Ukraine. There are regional differences in ASF knowledge and risky practices that should be taken into consideration in future evidence-based ASF prevention and control programs, including public awareness activities., (© 2021 The Authors. Veterinary Medicine and Science published by John Wiley & Sons Ltd.)
- Published
- 2021
- Full Text
- View/download PDF
10. Overview of Cattle Diseases Listed Under Category C, D or E in the Animal Health Law for Which Control Programmes Are in Place Within Europe.
- Author
-
Hodnik JJ, Acinger-Rogić Ž, Alishani M, Autio T, Balseiro A, Berezowski J, Carmo LP, Chaligiannis I, Conrady B, Costa L, Cvetkovikj I, Davidov I, Dispas M, Djadjovski I, Duarte EL, Faverjon C, Fourichon C, Frössling J, Gerilovych A, Gethmann J, Gomes J, Graham D, Guelbenzu M, Gunn GJ, Henry MK, Hopp P, Houe H, Irimia E, Ježek J, Juste RA, Kalaitzakis E, Kaler J, Kaplan S, Kostoulas P, Kovalenko K, Kneževič N, Knific T, Koleci X, Madouasse A, Malakauskas A, Mandelik R, Meletis E, Mincu M, Mõtus K, Muñoz-Gómez V, Niculae M, Nikitović J, Ocepek M, Tangen-Opsal M, Ózsvári L, Papadopoulos D, Papadopoulos T, Pelkonen S, Polak MP, Pozzato N, Rapaliuté E, Ribbens S, Niza-Ribeiro J, Roch FF, Rosenbaum Nielsen L, Saez JL, Nielsen SS, van Schaik G, Schwan E, Sekovska B, Starič J, Strain S, Šatran P, Šerić-Haračić S, Tamminen LM, Thulke HH, Toplak I, Tuunainen E, Verner S, Vilček Š, Yildiz R, and Santman-Berends IMGA
- Abstract
The COST action "Standardising output-based surveillance to control non-regulated diseases of cattle in the European Union (SOUND control)," aims to harmonise the results of surveillance and control programmes (CPs) for non-EU regulated cattle diseases to facilitate safe trade and improve overall control of cattle infectious diseases. In this paper we aimed to provide an overview on the diversity of control for these diseases in Europe. A non-EU regulated cattle disease was defined as an infectious disease of cattle with no or limited control at EU level, which is not included in the European Union Animal health law Categories A or B under Commission Implementing Regulation (EU) 2020/2002. A CP was defined as surveillance and/or intervention strategies designed to lower the incidence, prevalence, mortality or prove freedom from a specific disease in a region or country. Passive surveillance, and active surveillance of breeding bulls under Council Directive 88/407/EEC were not considered as CPs. A questionnaire was designed to obtain country-specific information about CPs for each disease. Animal health experts from 33 European countries completed the questionnaire. Overall, there are 23 diseases for which a CP exists in one or more of the countries studied. The diseases for which CPs exist in the highest number of countries are enzootic bovine leukosis, bluetongue, infectious bovine rhinotracheitis, bovine viral diarrhoea and anthrax (CPs reported by between 16 and 31 countries). Every participating country has on average, 6 CPs (min-max: 1-13) in place. Most programmes are implemented at a national level (86%) and are applied to both dairy and non-dairy cattle (75%). Approximately one-third of the CPs are voluntary, and the funding structure is divided between government and private resources. Countries that have eradicated diseases like enzootic bovine leukosis, bluetongue, infectious bovine rhinotracheitis and bovine viral diarrhoea have implemented CPs for other diseases to further improve the health status of cattle in their country. The control of non-EU regulated cattle diseases is very heterogenous in Europe. Therefore, the standardising of the outputs of these programmes to enable comparison represents a challenge., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Hodnik, Acinger-Rogić, Alishani, Autio, Balseiro, Berezowski, Carmo, Chaligiannis, Conrady, Costa, Cvetkovikj, Davidov, Dispas, Djadjovski, Duarte, Faverjon, Fourichon, Frössling, Gerilovych, Gethmann, Gomes, Graham, Guelbenzu, Gunn, Henry, Hopp, Houe, Irimia, Ježek, Juste, Kalaitzakis, Kaler, Kaplan, Kostoulas, Kovalenko, Kneževič, Knific, Koleci, Madouasse, Malakauskas, Mandelik, Meletis, Mincu, Mõtus, Muñoz-Gómez, Niculae, Nikitović, Ocepek, Tangen-Opsal, Ózsvári, Papadopoulos, Papadopoulos, Pelkonen, Polak, Pozzato, Rapaliuté, Ribbens, Niza-Ribeiro, Roch, Rosenbaum Nielsen, Saez, Nielsen, van Schaik, Schwan, Sekovska, Starič, Strain, Šatran, Šerić-Haračić, Tamminen, Thulke, Toplak, Tuunainen, Verner, Vilček, Yildiz and Santman-Berends.)
- Published
- 2021
- Full Text
- View/download PDF
11. Occupational Exposure and Carriage of Antimicrobial Resistance Genes (tetW, ermB) in Pig Slaughterhouse Workers.
- Author
-
Van Gompel L, Dohmen W, Luiken REC, Bouwknegt M, Heres L, van Heijnsbergen E, Jongerius-Gortemaker BGM, Scherpenisse P, Greve GD, Tersteeg-Zijderveld MHG, Wadepohl K, Ribeiro Duarte AS, Muñoz-Gómez V, Fischer J, Skarżyńska M, Wasyl D, Wagenaar JA, Urlings BAP, Dorado-García A, Wouters IM, Heederik DJJ, Schmitt H, and Smit LAM
- Subjects
- Animals, Anti-Bacterial Agents pharmacology, Cross-Sectional Studies, Drug Resistance, Bacterial drug effects, Macrolides, Swine, Abattoirs, Occupational Exposure
- Abstract
Objectives: Slaughterhouse staff is occupationally exposed to antimicrobial resistant bacteria. Studies reported high antimicrobial resistance gene (ARG) abundances in slaughter pigs. This cross-sectional study investigated occupational exposure to tetracycline (tetW) and macrolide (ermB) resistance genes and assessed determinants for faecal tetW and ermB carriage among pig slaughterhouse workers., Methods: During 2015-2016, 483 faecal samples and personal questionnaires were collected from workers in a Dutch pig abattoir, together with 60 pig faecal samples. Human dermal and respiratory exposure was assessed by examining 198 carcass, 326 gloves, and 33 air samples along the line, next to 198 packed pork chops to indicate potential consumer exposure. Samples were analyzed by qPCR (tetW, ermB). A job exposure matrix was created by calculating the percentage of tetW and ermB positive carcasses or gloves for each job position. Multiple linear regression models were used to link exposure to tetW and ermB carriage., Results: Workers are exposed to tetracycline and macrolide resistance genes along the slaughter line. Tetw and ermB gradients were found for carcasses, gloves, and air filters. One packed pork chop contained tetW, ermB was non-detectable. Human faecal tetW and ermB concentrations were lower than in pig faeces. Associations were found between occupational tetW exposure and human faecal tetW carriage, yet, not after model adjustments. Sampling round, nationality, and smoking were determinants for ARG carriage., Conclusion: We demonstrated clear environmental tetracycline and macrolide resistance gene exposure gradients along the slaughter line. No robust link was found between ARG exposure and human faecal ARG carriage., (© The Author(s) 2019. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.)
- Published
- 2020
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.